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Mr Will PhD


Adelaide tutor in Accounting, Algebra, Business Studies, Calculus, Computing, Economics, Engineering, Finance, Management, Maths, Maths Methods, Philosophy, Psychology, Sociology, Statistics, Taxation, Statistics, University Stats, University Maths, Actuarial studies, actuary, Quantitive Methods, Business Stat, Econometrics, Mathematics in Macroeconomics, Biostatistics, Statistics for Psychology and Social Sciences, Regression, GLM, Time Series, GARCH, ARIMA, ARDL, Hypothesis Testing, Confidence Inter

I travel to these locations
All suburbs, online help for assignments

My line of service includes:

A. Tutoring for all mathematics and statistics subjects (online or in person)
B. Performing data analysis for research, reports, including essays, theses or dissertations
C. Very experienced in R, SPSS, Stata, SAS, Eviews, Minitab, Excel, Prism
D. Assisting with coursework, assignments and projects (can offer assistance within 24 hours at the express rate)

Please don't hesitate to contact me at any time for a prompt response (normally within one hour) and quote of the price. The price will differ depending on the level of the subject.



I have over 10 years of experience teaching maths, stats and economics. I have taught at top institutions such as ANU, Cambridge, Oxford and the University of London.


2012 - 2017: PhD in Financial Statistics and Mathematics

2010: Bachelors in Economics, Mathematics and Statistics (graduated top of the class)


$30 per hour




Joined TutorFinder on 21-Feb-2018 (updated profile on 21-Jun-2018)
Tutoring Location
  • Tutor's Place in Adelaide
  • Home Visits within 10 kms
  • Online and Phone Help

  • Private & Group Tuition
Tutor in Adelaide


Algebra (Primary, Secondary, Tertiary)
Calculus (Primary, Secondary, Tertiary)
Maths (Primary, Secondary, Tertiary)
Maths Methods (Primary, Secondary, Tertiary)
Statistics (Secondary, Tertiary)


Computing (Secondary, Tertiary)
Engineering (Secondary, Tertiary)


Accounting (Secondary, Tertiary)
Business Studies (Secondary, Tertiary)
Economics (Secondary, Tertiary)
Finance (Secondary, Tertiary)
Management (Secondary, Tertiary)
Taxation (Secondary, Tertiary)

Social Science

Philosophy (Secondary, Tertiary)
Psychology (Secondary, Tertiary)
Sociology (Tertiary)

Other Subjects

Statistics, University Stats, University Maths, Actuarial studies, actuary, Quantitive Methods, Business Stat, Econometrics, Mathematics in Macroeconomics, Biostatistics, Statistics for Psychology and Social Sciences, Regression, GLM, Time Series, GARCH, ARIMA, ARDL, Hypothesis Testing, Confidence Intervals, MANOVA, ANCOVA, ANOVA, t tests, Parametric Tests, Non-parametric Tests, Markov Chains, Survival Analysis, Hazard Ratios, Odds Ratios, Factor Analysis, Cluster Analysis, Clustering, Classification, Discriminant Analysis, Meta-analysis, Experimental Design, Data Mining, Machine Learning, R, S-plus, SPSS, Stata, SAS, Eviews, Minitab, Excel, Prism, Bayesian Inference, Monte Carlo Simulation, Winbugs, Openbugs, Financial Math, Business Math, Math for Economics, Optimisation, Portfolio Theory, Game Theory, Stochastic Processes, Stochastic Calculus, Options Pricing, Derivative Pricing, Black Scholes Formula, Volatility Modeling, GMAT, GRE, A-level, O-level, GCSE, STEP, HSC, IB, SAT, AP, HKDSE, HKALE, Math, Mathematics, General Math, Further Math, Math Methods, Specialist Math, Mathematics Specialist, Math Applications, Math Studies, Math Extension 1, Math Extension 2, VCE, Foundation Math, WACE, BSSS, QCE, SACE, Engineering Math, Numerical Methods, C, C++, Java, MATLAB, Mathematica, Maple, Discrete Math, Math for Computer Science, Galois Theory, Real and Complex Analysis, Number Theory, Graph Theory, Combinatorics, Linear Algebra, Algebra, Pre- Calculus, Calculus, Multivariate Calculus, Partial and Ordinary Differential Equations, Geometry, Trigonometry, Instrumental Variables IV, Two-Stage Least Squares 2SLS, Error Correction Models, ARCH, Generalised Least Squares GLS, General Linear Model GLM, Vector Autoregressive Models VAR, Panel Data, Cross-sectional data, Maximum Likelihood, Generalised Method of Moments GMM, Importance Sampling, Monte Carlo Markov Chain MCMC, Fixed and random effects, Hausman test, Endogeneity, Logit, Probit, Logistics regression, Probit regression, dummy variables, Structural Equation Modelling, Multilevel models, inference, Principle component analysis PCA, Poisson regression, Binomial regression, Negative Binomial regression, Quartile regression, Sharpe ratio, Ordinary Least Squares OLS, Wald tests, LM tests, LR tests, Likelihood ratio, Captial Asset Pricing Model CAPM, convex optimisation, limited dependent variable models, bootstrapping, finance, economics, Difference in difference DiD estimators, Gretl, Revman, Cochrane review, Predictive Analytics, Hedonic analysis, ArcGIS, J curve graphs, ROC curves, log-linear models, stattools, @risk, simul8, microeconomics, macroeconomics, latex, tex, BEAMnrc, Purchasing power parity, PPP, mean reverting, Augmented Dickey Fuller ADF tests, Engle Granger Johansen cointegration tests, NVIVO, confirmatory factor analysis CFA, exploratory factor analysis EFA, joint point regression, Joinpoint Trend Analysis Software, Public Health, Epidemiology, sampling, stratification, stratified random sample, Actuarial studies, sensitivity and specificity, Positive Predicted Value PPV, Negative Predicted Value NPV, PLS path modelling, conjoint analysis, quasi- experimental studies, RevMan, Gravity model, PPP, PFI, difference and system gmm, level equations, hadoop, Kruskal-Wallis test, Friedman test, multivariate multiple regression, machine learning, LINGO, DEAP Data Envelopment Analysis, personnel economics, WarpPLS, Weka, Nonlinear structural equation modelling, MPlus, Regression Algorithms, Multivariate Adaptive Regression Splines MARS, Locally Estimated Scatterplot Smoothing LOESS, Instance-based Algorithms: k-Nearest Neighbour kNN, Learning Vector Quantization LVQ, Self- Organizing Map SOM, Locally Weighted Learning LWL, Regularization Algorithms, Ridge Regression, Least Absolute Shrinkage and Selection Operator LASSO, Elastic Net Least-Angle Regression LARS, Decision Tree Algorithms, Classification and Regression Tree CART, Chi-squared Automatic Interaction Detection CHAID, Decision Stump M5, Conditional Decision Trees, Bayesian Algorithms Naive Bayes Gaussian Naive Bayes Multinomial Naive Bayes Averaged One-Dependence Estimators AODE, Bayesian Belief Network BBN, Bayesian Network BN, Clustering Algorithms k-Means k- Medians, Expectation Maximisation EM, Hierarchical Clustering Association Rule, Learning Algorithms, Apriori algorithm Eclat algorithm, Artificial Neural Network Algorithms, Perceptron Back-Propagation, Hopfield Network, Radial Basis Function Network RBFN, Deep Learning Algorithms, Deep Boltzmann Machine DBM, Deep Belief Networks DBN, Convolutional Neural Network CNN, Stacked Auto-Encoders Dimensionality Reduction Algorithms, Principal Component Regression PCR, Partial Least Squares Regression PLSR, Sammon Mapping Multidimensional Scaling MDS, Projection Pursuit Linear Discriminant Analysis LDA, Mixture Discriminant Analysis MDA, Quadratic Discriminant Analysis QDA, Flexible Discriminant Analysis FDA, Ensemble Algorithms Boosting Bootstrapped Aggregation Bagging AdaBoost Stacked Generalization blending Gradient Boosting Machines GBM, Gradient Boosted Regression Trees GBRT, Random Forest, Feature selection algorithms, Algorithm accuracy evaluation, Performance measures, Computational intelligence evolutionary algorithms, Computer Vision CV, Natural Language Processing NLP, Recommender Systems, Reinforcement Learning, Graphical Models, Simultaneous Equation Modelling SEM, AMPL, AMPL Dev, R studio
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